Abstract
Vascular cognitive impairment (VCI) refers to all forms of cognitive disorder related to cerebrovascular diseases, including vascular mild cognitive impairment, post-stroke dementia, multi-infarct dementia, subcortical ischemic vascular dementia (SIVD), and mixed dementia. Among the causes of VCI, more attention has been paid to SIVD because the causative cerebral small vessel pathologies are frequently observed in elderly people and because the gradual progression of cognitive decline often mimics Alzheimer’s disease. In most cases, small vessel diseases are accompanied by cerebral hypoperfusion. In mice, prolonged cerebral hypoperfusion is induced by bilateral carotid artery stenosis (BCAS) with surgically implanted metal micro-coils. This cerebral hypoperfusion BCAS model was proposed as a SIVD mouse model in 2004, and the spreading use of this mouse SIVD model has provided novel data regarding cognitive dysfunction and histological/genetic changes by cerebral hypoperfusion. Oxidative stress, microvascular injury, excitotoxicity, blood-brain barrier dysfunction, and secondary inflammation may be the main mechanisms of brain damage due to prolonged cerebral hypoperfusion, and some potential therapeutic targets for SIVD have been proposed by using transgenic mice or clinically used drugs in BCAS studies. This review article overviews findings from the studies that used this hypoperfused-SIVD mouse model, which were published between 2004 and 2021.
Keywords: Bilateral carotid artery stenosis, cerebral hypoperfusion, cerebral small vessel disease, subcortical ischemic vascular dementia, vascular cognitive impairment
Introduction
Vascular cognitive impairment (VCI) includes any types and stages of vascular-related cognitive decline from vascular mild cognitive impairment (VaMCI) to vascular dementia (VaD).1,2 Among the causes of VCI, more attention has been paid to subcortical small vessel disease (SSVD) as frequently shown lesions in elderly patients with cognitive decline. 3 Early intervention for SSVD may be crucial for the reduction of the demented population. 4 Although the mechanisms and clinical manifestations have been reported, better diagnostic markers and satisfactory therapeutic options for SSVD are still under investigation. The most common pathology in SSVD is diffuse damage to the white matter. Dementia caused by SSVD has been known as subcortical ischemic vascular dementia (SIVD). 5 The management of VCI includes blood pressure control and checking lifestyle factors such as nonsmoking and physical activity for the prevention of cerebrovascular diseases. 6 In addition, cholinesterase inhibitors and N-methyl D-aspartate antagonist memantine showed mild positive effects on cognition, but data are insufficient to support widespread use of these drugs in vascular dementia. 7 Overall, disease-modifying treatments are not yet available partly because the epidemiology is not well understood and the cognitive decline is often heterogeneous (i.e., mixed pathology with Alzheimer’s disease or α-synucleinopathy). Further, evidence of intervention for lowering the risk of incident dementia or cognitive decline is also lacking. Despite advanced neuroimaging methods in humans, understanding of the pathophysiological mechanisms of cerebral small vessel disease is incomplete,8–10 and the absence of circulating or cerebrospinal fluid biomarkers specific for VCI makes it challenging to monitor the efficacy of the interventions. Thus, for our deeper understanding of the pathological mechanisms of VCI and for finding a better therapeutic approach for this disease, more data are needed regarding the changes in cognitive behavior, histology, and gene and protein expression from rodent model studies.
In 1994, a rat model of cerebral hypoperfusion induced by occlusion of the bilateral common carotid arteries was developed for investigating chronic ischemic white matter lesions. 11 Although this rat model showed glial activation and white matter changes resembling white matter lesions in humans, there were two potential limitations; (a) the visual pathway was damaged by the occlusion of the ophthalmic arteries which can affect behavioral tests, and (b) lack of knock-out or transgenic rats to conduct genetic studies. To overcome these points, in 2004, a mouse model of prolonged cerebral hypoperfusion by bilateral carotid artery stenosis (BCAS) was proposed as a more reasonable mouse model to study chronic ischemic white matter lesions. 12 The BCAS mice do not show severe damage to the optic tract, and genetic studies can be performed with this model using knock-out/knock-in or transgenic mice. The authors, who developed this mouse model, reported that the BCAS mice showed a working memory deficit suggestive of the damage in frontal-subcortical circuits which is often seen in SIVD patients. 13 To date, BCAS mice have been relatively well recognized as one of the useful experimental models for VCI with white matter pathology, i.e., VCI associated with SSVD.14,15 Moreover, novel mechanisms and potential therapeutic targets for white matter damage due to chronic cerebral perfusion have been studied using this mouse model. This review article exclusively focuses on this BCAS mouse model because of the increasing number of papers with the BCAS model. But of course, besides this BCAS model, there are multiple useful rodent models of vascular cognitive impairment. Table 1 summarizes the main advantage and disadvantage of the BCAS model over other rodent models of VCI, but the readers are encouraged to read the review articles that summarize and compare these models.15–21 In addition, within in this review article, we briefly introduce other “stenosis-based” rodent VCI models and discuss what points are different from the mouse BCAS model.
Table 1.
Animal | Model | Procedure/mechanism | Advantages of BCAS model | Disadvantages of BCAS model |
---|---|---|---|---|
Rat | SHRSP | Genetic model for hypertension | Genetic studies can be performed using knock-out or knock-in or transgenic mice | To study hypertension and stroke, SHRSP is more useful than BCAS model with WT mice. |
Rat | BCCAO | Surgical occlusion of bilateral CCA | The visual pathway is not damaged. | Surgery is harder than BCCAO because of the small size of the vessels and organs. |
Rat and Mouse | 2-VGO | Surgical placement of ACs to CCA | Surgery is easier and device costs are cheaper. | The reduction rate of CBF is relatively rapid. |
Mouse | ACAS | Surgical placement of ACs to Rt CCA and MCs to Lt CCA | Surgery is easier and device costs are cheaper. | The reduction rate of CBF is relatively rapid. |
Rat and Mouse | Focal Injection of Vasoconstrictors | Direct injection of vasoconstrictor agents into the white matter | Global hypoperfusion including white matter can be made suitable for SIVD research. | To study white matter strokes such as lacunar infarcts, BCAS is inferior. |
Mouse | Transgenic lines for SVD | Genetically inherited CADASIL or CAA | Suitable for sporadic SIVD studies. BCAS can be applied to these transgenic mouse lines. | Not suitable for studies of SIVD caused by inherited SVD. Surgical intervention is needed. |
Rat and Mouse | MCAO | MCA occlusion | To study SIVD, BCAS model is more useful. | To study PSD, MCAO is more useful than BCAS model. |
BCAS: bilateral common carotid artery stenosis; SHRSP: stroke-prone spontaneously hypertensive rats; WT: wild type; BCCAO: bilateral common carotid artery occlusion; CCA: common carotid artery; VGO: vessel gradual occlusion; AC: ameroid constrictor; CBF: cerebral blood flow; ACAS: asymmetric common carotid artery surgery; Rt: right; Lt: left; SIVD: subcortical ischemic vascular dementia; SVD: small vessel disease; MCAO: middle cerebral artery occlusion; MCA: middle cerebral artery; PSD; poststroke dementia.
Search and selection of literature
The relevant studies from 2004 to 2021 were searched (by HI and KA, individually) using the term ‘bilateral carotid artery stenosis or BCAS’, ‘cerebral hypoperfusion’, and ‘mouse or mice’ on PubMed. With this initial search, we found 119 papers. Among these papers, we manually excluded 23 papers because they did not use BCAS mice. After that, we carefully checked the rest of the 96 papers, and then 19 papers were newly added to our list because these papers were cited in the 96 papers. In the end, a total of 115 papers were reviewed for this review article (Figure 1). This search strategy and study exclusion criteria were pre-registered. As shown in Figure 2(a), the number of papers with the BCAS mouse model has been gradually increasing since the model was first reported in 2004 from Japan 12 (Figure 2(a)). Especially, there has been a high increase in the recent five years (Figure 2(a)), and this may be partly because of the expansion of reporting countries (Figure 2(b) and (c)).
Methods of BCAS operation
The original BCAS papers specified the mouse strain and sex/age, duration of hypoperfusion, operation procedure, and micro-coil diameter for the BCAS model in detail.12,13,22 Male C57BL/6J mice (age of 2 to 3-month-old, body weight, 24–29 g) are considered the most established mice for this model since other strains may have greater variability of cerebral blood flow (CBF) after cerebral hypoperfusion by the BCAS operation. The procedure of BCAS surgery is as follows: First, an anesthetized mouse with gas anesthetics should be placed in a dorsal recumbent position on the operating board with a heating pad. Then shave the ventral neck area, sanitize with 70% ethanol, and make a 1.0–1.5 cm midline skin incision in the neck. Remove the underlying fat and move the salivary glands with forceps to maximize the operating field. Expose both common carotid arteries from their sheaths under an operating microscope. Separating the carotid from the vagus nerve is important, and attention should be paid not to damage the nerve. Sutures should be located around the common carotid artery (CCA) for lifting the vessels and twine the micro-coil by rotating it around both CCA (Figure 3). Close the incision with fine sutures and return the mouse to the animal holding area. After awake, the BCAS mouse should move almost normally. In the reports from the group that established this mouse model, CBF decreased to about 68% from the baseline after 10 minutes and 84% after one month after BCAS operation when 0.18 mm inner diameter micro-coils were used. 22
To date, several modifications have been made. The modifications of the BCAS methodology are summarized in Table 2.12,13,23–53 The major modified points include mouse strain, mouse age at surgery, and micro-coil diameter (Supplementary Figure S1). Originally, the BCAS model was proposed to use the C57BL/6J strain, as CBF in other strains may have variability due to the difference in vascular structures. 22 In recent studies, however, at least B6D3F1 and FVB strains are confirmed to show similar CBF reduction after BCAS surgery to C57BL/6J mice.39,42 As for mouse age, the original BCAS paper by Shibata et al. used 2-month-old mice, and most studies used 2 to 4-month-old mice. However, some studies used older mice (Table 2). The oldest mouse age for BCAS studies is 22-month-old, and even in the aged mice, approximately 15% CBF reduction was observed 30 days after the BCAS operation. 46 But it should be noted that the baseline CBF of 22-month-old mice was already decreased to about 60% compared to 3-month-old mice. Therefore, when we use older mice for BCAS studies, we may need to pay attention to the baseline CBF of those mice. As for the micro-coil issue, while a majority of BCAS studies used the 0.18 mm inner diameter micro-coils for both CCA, some studies used micro-coils with different diameters for each carotid artery.23,32,35,38,41 To date, 0.18 mm coils are considered most appropriate to study white matter lesions caused by chronic hypoperfusion, but other sizes of micro-coils (e.g., 0.16 ∼ 0.22 inner diameter) were often used. However, the 0.16 mm micro-coils would cause significant gray matter changes and a high mortality rate (75% in 14 days after surgery) compared to 0.18 mm micro-coils (the average mortality rate with 0.18 mm coils is 12.4% (0%–29.2%).12,36,48,54–67 On the other hand, the larger sizes of micro-coils (>0.20 mm inner diameter) may not properly induce prolonged cerebral hypoperfusion. 12 Therefore, when we use other sizes of micro-coils than 0.18 mm micro-coils, we should carefully check CBF after BCAS operation. In addition, we may also need to consider the influences of manufacturer differences for micro-coils. Shibata et al. obtained micro-coils from Sawane Spring for their original BCAS study, but there are several manufacturers for micro-coils these days (Table 2). Recent data indicate a relatively low mortality rate even in the 0.16 mm coils that range from 25% to 37.5%, and this discrepancy may be partly because of the manufacturer differences. The modified method of BCAS is expanding, and researchers now choose age at operation, duration of hypoperfusion, and coil diameter according to the purpose of their studies.
Table 2.
Year, first author | Background strain | Age (Month) | Sex | Hypoperfusion duration (days) | Micro-coil diameter (mm) | Coil manufacturare (country) | Mortality rate (coil) | Post-BCAS CBF(coil, days) | Method of CBF measurement |
---|---|---|---|---|---|---|---|---|---|
2004, Shibata (Original model) | C57BL/6 | 2.5–3 | Male | 30 | 0.16, 0.18, 0.20, 0.22 | Sawane spring (Japan) | 75% (0.16), 15% (0.18) | 81% (0.16, 30) 88% (0.18, 30) | Laser-Doppler flowmetry(LDF) |
2007, Shibata (Original model) | C57BL/6 | 2.5–3 | Male | 30 | 0.18 | Sawane spring (Japan) | NA | NA | NA |
2009, Miki | C57BL/6 | 4–4.5 | Male | 35 | left 0.16, right 0.18 | Sawane spring (Japan) | 18.80% | 60–70% 27 | LDF |
2010, Nishio | C57BL/6 | 4 | Male | 240 | 0.18 | Sawane spring (Japan) | NA | 85% 90 | Laser speckle imaging (LSI) |
2011, Coltman | C57BL/6 | 3–4 | Male | 28 | 0.18 | Sawane spring (Japan) | NA | NA | – |
2011, Reuner | C57BL/6 | 3–4 | Male | 3, 28 | 0.18 | Sawane spring (Japan) | NA | NA | – |
2011, Holland | C57BL/6 | 3–4 | Male | 28 | 0.18 | Sawane spring (Japan) | NA | NA | – |
2012, Okamoto | C57BL/6 | 2.5, 4, 5 | Male | 56, 84 | 0.18 | Sawane spring (Japan) | NA | 85% 84 | LSI |
2013, Miyamoto | C57BL/6 | 2, 8 | Male | 3, 7, 14 | 0.18 | Sawane spring (Japan) | NA | NA | – |
2014, Hattori | C57BL/6 | 5–9 | Male | 28 | 0.18 | Sawane spring (Japan) | NA | 83% 28 | LSI |
2014, Toyama | C57BL/6 | 2 | Male | 28 | 0.16, 0.18 | Sawane spring (Japan) | 37.5% (0.16), 0% (0.18) | 73% (0.16, 28) 80% (0.18, 28) | LSI |
2014, Yata | C57BL/6 | 2–4 | Male | 1, 14 | right 0.16, left 0.18 | Sawane spring (Japan) | NA | 40–50% 14 | Two-photon microscopy (pial artery) |
2016, Saggu | C57BL/6 | 2.5–4 | Male | 7, 42 | 0.17 | Sawane spring (Japan) | NA | 75% 7 | LSI |
2017, Kitamura | C57BL/6 | 4–5 | Male | 84 | 0.18 | Sawane spring (Japan) | NA | 50–60% 84 | MRI (ASL, corpus callosum) |
2017, Tsai | C57BL/6 | 3 | Male | 30 | left 0.16, right 0.18 | Sawane spring (Japan) | NA | 70% 30 | Laser Doppler imaging (LDI) |
2017, Wolf | C57BL/6 | 3, 19 | Female | 49 | 0.18 | Wuxi Samini spring (China)a | 20% | NA | – |
2017, Boehm-Sturm | C57BL/6 | 9–13 | Male | 49 | 0.16 | Shannon Coiled Spring (Ireland) | NA | 75% 28 | MRI (ASL) |
2018, Fowler | C57BL/6 | 3–4 | Male | 7 | right 0.16, left 0.18 | Sawane spring (Japan) | 19.40% | 45% 7 | LSI |
2018, Song | FVB/N | 2–2.5 | Male | 42 | 0.18 | Sawane spring (Japan) | NA | 60–70% 42 | Two-photon microscopy (capillaries) |
2018, Toyama | C57BL/6 | 2 | Male | 28 | 0.16 | NA | NA | 70–75% 28 | LSI |
2018, Roberts | C57BL/6 | 3 | Male | 7, 14, 30 | 0.18 | Waken B Technology (Japan) | NA | NA | – |
2019, Gao | C57BL/6 | 2–2.5 | Male | 28 | 0.18, 0.20 | Sawane spring (Japan) | 12%(0.18) | NA | – |
2019, Shimada | B6D2F1 | 8 | Male | 28 | 0.18 | Sawane spring (Japan) | NA | NA | – |
2020, Foddis | C57BL/6 | 2–3 | Male | 2, 8 | 0.16 | Shannon Coiled Spring (Ireland) | NA | 72% 1 | MRI (ASL) |
2020, Sigfridsson | C57BL/6 | 6 | Male | 42 | 0.18 | Sawane spring (Japan) | NA | NA | – |
2021, An | C57BL/6 | 6–8 | Male | 30 | 0.16 | RuikeBiotech (China) | 25% | 65% 15 | LDF |
2021, Baik | C57BL/6 | 3, 22 | Male | 7, 30 | 0.18 | Sawane spring (Japan) | NA | 80–85% 30 | LSI |
2021, Liu | C57BL/6 | 2–3 | Male | 30 | 0.18 | Wuxi Samini spring (China)a | NA | 75% 30 | LSI |
2021, Liu | C57BL/6 | 4 | Male | 28 | 0.18 | Sawane spring (Japan) | 23.40% | 65% (0) | Laser Doppler perfusion monitoring (LDPI) |
2021, Messerschmidt | C57BL/6 | 2–3 | Male | 7, 28, 49 | 0.16 | Shannon Coiled Spring (Ireland) | NA | NA | – |
2021, Poh | C57BL/6 | 3–4 | Male | 1, 3, 7, 15, 21, 30 ,60 | 0.18 | Sawane spring (Japan) | NA | 80% 30 , 95% 60 | LSI |
2021, Ohtomo | C57BL/6 | 8 | Male | 42 | 0.18 | Samini (Japan)a | NA | NA | – |
The modified points were red-colored. MRI: magnetic resonance imaging; ASL: arterial spin labeling, NA: not available.
aWuxi Samini and Samini are affiliates of Sawane spring.The original model was described in bold.
Cerebral blood flow
Cerebral blood flow (CBF) after BCAS have been measured by multiple techniques, and in this section, we introduce CBF changes after BCAS operation (Table 3).12,13,23,24,28–31,33,34,38,48,50,55–57,61,62,64,66,68–89 Laser doppler flowmetry (LDF) and laser speckle imaging (LSI) are the most widely used method for assessing CBF in BCAS mice. The relative CBF of the cortex can be measured by LDF. 90 The LSI is a technique for recording CBF that can be used to acquire semiquantitative maps of blood flow in vasculature on the cortical surface in animal models. 91 The advantage of LSI is the relative simplicity and cost-effectiveness of its instrumentation for standalone systems. 92 The CBF after BCAS showed similar change between LDF and LSI mainly because those techniques are both assessing the blood flow of the cortical surface. According to the CBF data measured by LDF or LSI, CBF decreases to about 60% from baseline after the micro-coil placement and then gradually recovers to around 70% and 80% seven days and 25 ∼ 30 days after BCAS operation, respectively. ASL measures blood flow directly and suffers from a low signal to noise ratio, but blood oxygen level dependent (BOLD) is based on functional MRI (fMRI) where it is used to localize the hemodynamic response to neural activity. 93 While some fMRI studies BOLD have been conducted in human brain with small vessel diseases,93,94 BOLD-fMRI studies using BCAS model mice have not been reported yet. This is partly due to the technical difficulty in taking BOLD-fMRI images using mouse brains. However, some studies have reported its usefulness, 95 and imaging data of neurovascular coupling or cerebrovascular reactivity to carbon dioxide in BCAS mice would help to assess the influence of collaterals to small vessel blood flow and to estimate the comparability of the human data.
Table 3.
Day 0 | Day 1–3 | Day 7 | Day 14 | Day 25–30 | Day 50–60 | Day 80–90 | |
---|---|---|---|---|---|---|---|
Laser Doppler Flowmetry | 61%48–77 | 73%72–75 | 73%65–77 | 70%65–79 | 79%60–89 | 76%70–85 | 85% |
Laser Speckle Imaging | 61%50–69 | 60%40–75 | 71%45–82 | 83%80–88 | 80%70–90 | 85% | NA |
MRI (Atrial Spin Labeling) | NA | 50% | 53%50–55 | 50% | 70% | NA | 50–60% (thalamus, corpus callosum) |
Average (range) cerebral blood flow at each timepoint was shown in this table.
On the other hand, CBF measured by atrial spin labeling (ASL) on MRI showed a little different tendency. After BCAS, the CBF dropped to around 50% by day 14, then recovered to 70% on days 25 ∼ 30. One study focusing on CBF in the thalamus and corpus callosum showed CBF reduction to 50–60% from the baseline three months after BCAS. 34 The main difference compared to LDF/LSI is that CBF in the whole brain or deep area can be measured on MRI. A study using ASL indicated that cortical and subcortical parenchymal CBF levels are continuously decreased for at least 14 days. 73
In vivo imaging using two-photon laser-scanning microscopy in BCAS was also performed to assess deep cortical capillary flow. 32 Inflow velocity of the pial arteries and outflow velocity of the pial veins decreased about 50% from the baseline after BCAS from day 1 to day 14 by repetitive line-scanning. Another study with in vivo two-photon microscopy observation of penetrating arteries has shown that the velocity of blood flow of BCAS mice was 62.5% of sham-operated mice six weeks after the operation. 39 A recent study with in vivo two-photon microscopy reported comparative data of CBF between cortex and corpus callosum. In BCAS mice, red blood cell (RBC) flux in the white matter (e.g., corpus callosum) was reduced significantly in comparison to the controls, while RBC flux in the gray matter (e.g., cortex) was preserved. The results suggested that blood flow in the corpus callosum may be less efficiently regulated when challenged by physiological perturbations as compared to the cortex. 96 The CBF assessed by LDF or LSI returns to around 80% from the baseline one month after BCAS. In contrast, CBF in deeper tissue or capillary may be lower than the cortical CBF evaluated by LDF or LSI. Micro-heterogeneity of flow in BCAS mice was revealed by optical coherence tomography. 97
In summary, the reduction rate of CBF in brain surface is 30–40% at 3 days and recover to 20% at 1 month probably due to collateral circulation. The CBF reduction in the deeper area may be more severe, estimated reduction rate is 30% 1 month after surgery. Future studies are warranted to carefully examine the local supply heterogeneity at the capillary level, even at non-ischemic global flow levels.
Cognitive function
Thus far, several behavioral tests have been used to assess the cognitive function of BCAS mice (Table 4). 13,14,23–25,29,34,37,52,54,56,57,61,70,72,75,76,78,79,81,83, 98–111 For example, in the 8-arm radial maze test, which was used in the original study, spatial working memory declined in BCAS mice (2.5-month to 5-month-old) with 28 to 6 months of hypoperfusion duration. Reference memory was intact in 2.5 to 3-month-old mice with 1-month BCAS duration. In the Y-maze test, BCAS mice (2-month to 4-month-old) with hypoperfusion duration of 28–60 days tend to show spatial working memory decline. Furthermore, another study using 4-month-old mice with 5-month hypoperfusion (behavioral test at 9-month-old) also showed working memory impairment compared to sham mice in the 8-arm-radial maze test. 24 A shorter duration (e.g., 14 days) of hypoperfusion may not show a cognitive decline compared to the control group.29,76 Another study confirmed that 14-day hypoperfusion did not cause spatial working memory deficits (assessed by the Y-maze tests) in 2-month-old mice, 29 but this study also showed that in 8-month-old mice, 14-day hypoperfusion did induce cognitive decline, 29 indicating that aging may be an important risk factor for cerebral hypoperfusion-related cognitive dysfunction in mice. However, the data regarding cognitive function in aged BCAS mice is still insufficient in both Y-maze and 8-arm-radial maze tests.
Table 4.
Behavioral test | Mouse age at BCAS (month) | Hypoperfusion duration | Results | Studies (reference number) |
---|---|---|---|---|
Y-maze | 2–3 | 30 days | Spatial working memory ↓ | Hou, 2015 (98) |
2–2.5 | 60 days | Spatial working memory ↓ | Han, 2019 (61) | |
2.5–3 | 14 and 28 days | Working memory → at day 14, ↓ at day 28 | Miyanohara, 2018 (76) | |
2.5 | 30 days | Spatial working memory↓ | Washida, 2010 (70) | |
2.5 | 28 days | Spatial working memory ↓ | Miyamoto, 2013 (72)Miyamoto, 2020 (99) | |
2.5 | 4 and 6 months | Working memory ↓ (both timepoints) | Khan, 2018 (78) | |
3 | 14 days | Spatial working memory ↓ | Dong, 2011 (100) | |
3 | 21 days | Spatial working memory ↓ | Dong, 2011 (100) | |
3–4 | 28 days | Spatial working memory ↓ | Koizumi, 2018 (79)Du, 2020 (83) | |
2 and 8 | 14 days | Working memory of middle-aged BCAS mice↓ (compared to young BCAS mice) | Miyamoto, 2013 (29) | |
8-arm radial maze | 2.5–3 | 28 days | Spatial working memory ↓Reference memory → | Chen, 2017 (56)Chen, 2019 (101) |
2.5–3 | 30 days | Spatial working memory↓Reference memory → | Shibata, 2007 (13) | |
2.5 | 30 days | Spatial working memory ↓ | Duan, 2009 (54) | |
< 3 | 6 months | Spatial working memory ↓ | Holland, 2015 (14) | |
3–4 | 2 months | Spatial working memory ↓ | Coltman, 2011 (25) | |
4 | 5 months | Spatial working memory ↓ | Nishio, 2010 (24) | |
4–5 | 3 months | Spatial working memory ↓ | Kitamura, 2017 (34) | |
Barnes maze | 4 | 6 months | Reference memory ↓ | Nishio, 2010 (24) |
Water maze | 2 | 28 days | cognitive function ↓ | Park, 2019 (102) |
2–2.5 | 14 days | Spatial learning memory ↓ | Yuan, 2017 (103) | |
2.5 | 42 days | Spatial learning memory ↓ | Iwanami, 2015 (104) | |
2.5 | 42 days | Spatial learning memory ↓ | Mogi, 2018 (105) | |
3 | 10-14days 24-28days | Spatial learning memory ↓ exception on day 26–28 | Ahn, 2016 (106) | |
< 3 | 6 months | Spatial reference lerning and memory ↓ | Holland, 2015 (14) | |
3–4 | 1 month | Reference memory → | Coltman, 2011 (25) | |
4–4.5 | 35 days | Reference memory ↓ | Miki, 2009 (23) | |
8 | 7 weeks | Reference memory → | Ohtomo, 2021 (52) | |
9–13 | 7 weeks | Spatial learning memory ↓ | Boehm-Strum, 2017 (37) | |
NORT | 2 | 28 days | Cognitive function (30 min retention) ↓ | Takase, 2021 (107) |
2–2.5 | 28 days | Cognitive function (6 h retention) ↓ | Temma, 2017 (108) | |
2–2.5 | 60 days | Cognitive function (1 h retention) ↓ | Han, 2019 (61) | |
2–3 | 28 days | Recognition memory (6 h retention)↓ | Khan, 2015 (109)Kakae, 2019 (110) | |
2.5–3 | 28 days | Working memory (6 h retention) ↓ | Miyanohara, 2018 (76) | |
2.5–3 | 28 days | Cognitive function (1 h retention) → | Lee, 2019 (81) | |
2.5–3 | 40 days | Short-term (90 min) memory ↓Long-term (24 h) memory → | Patel, 2017 (57) | |
3 | 5 weeks | Cognitive function (1 day retention) ↓ | Dominguez, 2018 (75) | |
3 | 90 days | Working memory (15 min retention) ↓ | Tsai, 2015 (111) | |
3–4 | 28 days | Cognitive function (30 min retention) ↓ | Koizumi, 2018 (79) | |
8 | 7 weeks | Cognitive function (30 min retention) ↓ | Ohtomo, 2021 (52) | |
9–13 | 7 weeks | Short-term (2 h) memory → | Boehm-Strum, 2017 (37) |
In the Morris water maze (MWM) test, 2 ∼ 3-month-old mice with 14-day ∼ 6-month cerebral hypoperfusion tend to show cognitive dysfunction. One study using 3 ∼ 4-month-old mice with a BCAS duration of one month showed no significant cognitive decline compared to the control group. 25 Another study reported compensatory mechanisms of cognitive recovery on days 26 ∼ 28 post-BCAS surgery. 106 Their MWM test data showed a decline of spatial working memory after 10 ∼ 14 days or 24 ∼ 25 days after BCAS, but the cognitive function did not show a significant difference compared to the sham mice on days 26 ∼ 28 after BCAS. Middle-aged mice (8 ∼ 13-month-old) showed various results regarding cognitive function.37,52 In the novel object recognition test (NORT), most studies indicated that BCAS mice (2 ∼ 8-month-old) with hypoperfusion duration of 28 ∼ 90 days show a short-term (15 minutes to 6 hours) memory decline. On the other hand, some studies did not replicate this tendency.37,81 One study analyzed the discrimination rate of the NORT in 3-month-old and 21-month-old female mice and reported that there were no significant cognitive differences in the discrimination rate between the two age groups. 36 The protocol with a long-retention interval (e.g., >24 hours) or aged mice may not detect cognitive decline by cerebral hypoperfusion.37,57
Overall, young mice seem easier to be detected cognitive decline by prolonged cerebral hypoperfusion. This is partly because aged mice exhibit some cognitive impairment at baseline, 112 and the deleterious effects of cerebral hypoperfusion on cognitive function may sometimes be difficult. However, how aging affects cognitive decline by cerebral hypoperfusion is still to be elucidated.
Pathophysiology in corpus callosum, cortex, and hippocampus
Histopathological examination detects changes in protein expression caused by cerebral hypoperfusion in BCAS mice. The authors, who developed this BCAS model, reported that the most vulnerable brain region by cerebral hypoperfusion was white matter (e.g., corpus callosum), in which the proliferation of activated microglia and astroglia was observed three days after BCAS. 12 The smaller changes were also observed in the caudoputamen, internal capsule, and anterior commissure. The white matter lesion is estimated from the reduced intensity of myelinated fibers and the compromised integrity of the myelin with relatively intense change in the medial part of the corpus callosum on Klüver-Barrera (KB) staining 14 days after BCAS. Although the gray matter is almost intact one month after BCAS when 0.18 mm micro-coils are used, ischemic lesions would extend from white matter to the hippocampus and cortex when 0.16 mm diameter micro-coils were used.12,23 A duration of 8 months with cerebral hypoperfusion causes the development of pyknotic neurons in the cortex and hippocampus. 24 Hippocampal atrophy is also observed in long-term cerebral hypoperfusion in mice. 113 The main cause of hippocampal atrophy is thought to be secondary to the proceeding damage of white matter.
A recent study has shown that there are no significant changes in MAP2 expression and NeuN positive neuron numbers in the cortex and hippocampus (CA3) at three days, ten days, one month, and three months after BCAS compared to the sham group. 114 On the other hand, some studies reported histological changes in the hippocampus and cortex after BCAS. Mice with cerebral hypoperfusion showed impairment of synaptic plasticity confirmed by assessing reduced spine density in both hippocampus and cortex one month after the BCAS surgery. 115 In addition, one study using ex-vivo MRI revealed a slight injury to the hippocampus on T2 weighted images (WI) and significantly lower fractional anisotropy (FA) value on diffusion tensor imaging (DTI) metrics measurement. 47 Astrogliosis (increased GFAP positive cells) and microglial activation (increased Iba1 positive cells) were also reported in the hippocampus in mice 30 days after BCAS without neuronal loss in the hippocampus and cortex. In addition, changes in the blood-brain-barrier (BBB) and BBB-associated extracellular matrix would occur shortly after BCAS in the hippocampus, cortex, and striatum. 53 These studies indicate that the inflammation or microstructural changes would appear in brain regions besides the corpus callosum shortly after BCAS, which might underlie the gradual development of BCAS non-white matter pathology.
The selective white matter damage by 4-week cerebral hypoperfusion in BCAS mice using 0.18 mm micro-coils resembles the pathology of human SIVD. In contrast, BCAS mice with cortical or hippocampal changes induced by long-term hypoperfusion (e.g., longer than 6-month cerebral hypoperfusion) or by narrower inner diameter micro-coils could be considered a mouse model for the broader spectrum of VCI related to SVD and carotid artery stenosis in human. Therefore, depending on the purpose, we could manipulate the brain region and the degree of hypoperfusion-induced damage by adjusting the conditions of BCAS. However, as noted above, brain damage by cerebral hypoperfusion would be affected by aging and mouse strains, so each laboratory needs to carefully optimize the model before starting its projects.
Mechanisms of brain damage by cerebral hypoperfusion
Oxidative stress, microvascular injury, excitotoxicity, BBB dysfunction, and secondary inflammation are considered the main mechanisms of tissue damage by prolonged cerebral hypoperfusion. Hypoxic conditions due to cerebral hypoperfusion would activate several deleterious cascades. For example, hypoperfusion induced by BCAS causes BBB disruption with vasogenic edema, damaging myelinated fibers of the deep white matter and extravasation of serum proteins. 16 Moreover, stagnation of capillary flow in the cortex induced by a plug with leukocyte has been observed on in vivo two-photon laser-scanning microscopy. 32 In addition, in vitro studies combined with in vivo studies with BCAS mice have revealed the role of glial cells and cell-cell interactions under hypoxic conditions.29,31,40,42,58,62,64,72,74,83,85,99,116–122 In this section, we mainly focus on the mechanisms of how oxidative stress, vascular injury, and inflammatory responses cause glial pathology in BCAS mice.
Reactive oxygen species (ROS) levels increase in damaged white matter, along with the suppression of OPC-to-oligodendrocyte differentiation and loss of myelin staining. 72 Oxidative stress-apoptosis signal-regulating kinase 1 (ASK1)-p38 cascade also plays a pathogenic role through BBB breakdown via the disruption of endothelial tight junction proteins.31,122 The activation of matrix metalloproteinases (MMPs) by hypoxia has been demonstrated to be involved in BBB opening via disrupting basal lamina and tight junction proteins,116,123 and MMPs are thought to play a critical role in the BBB disruption, glial cell activation, and white matter lesions in BCAS mice.61,68,116,124 In fact, the expressions of MMP-9 and MMP-2 increase were confirmed in mice after the BCAS operation.61,68,116 Inflammatory changes would also play an important role in the pathogenesis of cerebral hypoperfusion. The number of reactive astrocytes and activated microglia increases in the corpus callosum 14 days after BCAS, and these phenomena continue up to at least 30 days. 54 Proinflammatory cytokines, including tumor necrosis factor (TNF)-α, interleukin (IL)-1β, and IL-6, also increase in the corpus callosum after BCAS.76,103 Activated microglia in brain is the major source of cytokine release under pathological conditions, and these inflammatory profiles are exacerbated by adenosine A2A receptor (A2AR) deficiency.54,125 The protective effects of A2AR inactivation on the acute ischemic brain are thought to be caused by the reduction of glutamate outflow and excitotoxicity-related damage,126,127 while A2AR inactivation may be associated with increased expression of proinflammatory cytokines in chronic cerebral hypoperfusion induced by BCAS. 54 In addition, cerebral hypoperfusion induced by BCAS activates the absence in melanoma 2 (AIM2) and NOD-like receptor family, pyrin domain containing 3 (NLRP3) inflammasome. 128 The inflammasome is an intracellular multiprotein complex that initiates an innate immune response in neurodegenerative diseases. 129 Recent studies indicated that the AIM2 inflammasome mediates hallmark neuropathological alterations in BCAS mice.50,51 These studies suggest that cerebral hypoperfusion initiates complex molecular and cellular inflammatory pathways that contribute to long-term cognitive impairment.
To find a novel mechanism for brain damage after cerebral hypoperfusion, a few recent studies have provided DNA array or RNA-sequencing (RNA-seq) data for clarifying transcriptome profiles related to cerebral hypoperfusion.26,46–48,77,107 A microarray analysis using white matter samples indicated alterations in biological pathways, including inflammatory responses, cytokine-cytokine receptor interactions, blood vessel development, and cell proliferation processes. 26 A recent RNA-seq study using corpus callosum samples from BCAS mice showed significant activation of oligodendrogenesis pathways along with angiogenic responses at four weeks after cerebral hypoperfusion, 107 indicating that cerebral hypoperfusion may not always cause brain damage, but under some conditions, could activate compensative responses. Another recent study examined the transcriptome profile in the hippocampus in BCAS mice. BCAS-induced changes in hippocampal gene expression differed between young (3-month-old) and aged (22-month-old) mice. 46 The transcriptomic analysis of this study indicated that in comparison to young sham mice, many pathways altered by BCAS in young mice resembled those already present in sham-aged mice. In addition, over 30 days after the onset of cerebral hypoperfusion, aged BCAS mice showed minimal effect on hippocampal gene expression. Another study that analyzed astrocytic transcriptional profiles with bulk RNA-seq revealed a significant upregulation of classic transcriptomic signatures of reactive astrocytes, including pan-reactive signatures (Vim, Lcn2, Cd44, Steap4, Cxcl10, Gfap, Serpina3n, Osmr, Timp1), clustered A1 phenotype genes (Fkbp5, Gbp2, H2-D1, H2-T23, Iigp1, C3, C4b, Psmb8, Serping1, Srgn) and A2 phenotype genes (Cd14, Emp1, Ptgs2, Tgm1). 47 In recent years, many studies have focused on transcriptomics regarding the brain vasculature,130,131 but the transcriptome data are still not satisfactory in the BCAS model, and detailed information regarding gene and protein expression profiles for endothelium and perivascular cells using BCAS mice is awaiting for better understanding of which function is regulated at different levels of the vascular tree and how homeostasis is affected by cerebral hypoperfusion.
Comparison with other “stenosis-based” rodent models of cerebral hypoperfusion
After the development of the mouse model of cerebral hypoperfusion by BCAS, several rodent hypoperfusion models were reported. For example, rats with hypertension subjected to bilateral common carotid artery stenosis using ameroid constrictors called spontaneous hypertensive rat two-vessel gradual occlusion (SHR-2VGO) was reported in 2016. 132 The SHR-2VGO shows slowly evolving white matter abnormalities and subsequent spatial working memory impairment, which replicates some selective aspects of the pathophysiology of SIVD in humans. Although SHR-2VGO may be a reasonable rat model for studying SIVD, the lack of knock-out or transgenic rats to conduct genetic studies makes it challenging to explore potential therapeutic targets in disease animal models with cerebral hypoperfusion. In mice, a gradual common carotid artery (GCAS) mouse model shows a slower reduction of CBF than BCAS model which resembles a condition in the human brain with chronic cerebral hypoperfusion due to aging and cardiovascular risk factors. 133 In the GCAS model, ameroid constrictor devices which can cause gradual narrowing the diameter are applied to bilateral carotid artery instead of microcoils. In addition, an asymmetric common carotid artery stenosis (ACAS), in which an ameroid constrictor is used on one side of the common carotid artery and a microcoil is used on the other side, was also reported recently. 134 The mortality rate of ACAS was 20%, 134 which is slightly higher than the BCAS model. One of the drawbacks of the BCAS model is a relatively acute reduction of CBF after the surgery, but in both GCAS and ACAS models, the acute CBF drop would not be observed. According to the recent review article that provided the comparison between the BCAS and ACAS models, 17 the difficulty of surgery for ACAS is higher than BCAS, and the cost for BCAS is approx. $50 (microcoil $25 × 2) while the one for ACAS is $125 (ameroid constrictor $100 + microcoil $25). 17
Identifying potential therapeutic targets
The BCAS model has also been applied to disease mice, including Alzheimer’s disease (AD) mice, Parkinson’s disease (PD) mice, and diabetic mice. Chronic cerebral hypoperfusion by BCAS increased Aβ fibrils and induced Aβ deposition in the intracellular compartment in amyloid precursor protein (APP)-Tg AD mice, 135 suggesting that cerebral hypoperfusion may accelerate the pathological changes of AD. Another study showed that BCAS-operated APP-Tg mice exhibited an increased aggregation of Aβ and significantly impaired learning ability compared to the sham group. 136 A recent study supports the idea that cerebral hypoperfusion worsens AD pathology by showing that Aβ oligomers with high molecular weight increased in the brain of BCAS-operated mice. 88 In the tau-Tg mice (T44), compared to sham tg mice, cerebral hypoperfusion by BCAS promoted the expression of phosphorylated tau in tg mice (T44). 42 On the other hand, this study also showed that the expression of leptin-receptor was upregulated by cerebral hypoperfusion. Because leptin demonstrates potential as a therapeutic target for CNS diseases, such as ischemic stroke and AD, cerebral hypoperfusion may activate endogenous repairing processes even in AD mice. Besides AD mice, hypoperfusion induced by BCAS exacerbates cognitive impairment in a mouse model of PD, 137 proposing that maintaining adequate cerebral perfusion should be important for preventing cognitive decline in PD. Type 2 diabetic mice also show more severe white matter injury by cerebral hypoperfusion. The histopathological findings indicated that decreased proliferation and survival of OPCs may play an important role in the progression of white matter lesions after ischemia in diabetics. 138 Because CBF reductions are known to be one of the early symptoms of CNS diseases, such as AD, 139 the BCAS model combined with tg mice would be useful to examine the pathological mechanisms of other CNS diseases than SIVD for identifying a new therapeutic target.
The BCAS model could also be useful for drug testing. The number of studies that used potential therapeutic agents in BCAS-operated mice is increasing. These agents include MMP inhibitor, 116 TrkB antagonist, 106 NKCC1 inhibitor, 140 CSF-1R inhibitor, 141 an inhibitor of immunoproteasome subunit LMP7, 142 and ginsenoside Rg1 67 Drugs approved for other diseases such as telmisartan, 70 edaravone,72,118 cilostazol,34,77 melatonin, 35 tamoxifen, 101 levetiracetam, 80 fingolimod 120 and digoxin 86 were confirmed to be effective in mitigating white mater damage and/or cognitive decline in BCAS mice. These studies provide proof of concept that these drugs could be re-purposed for SIVD or vascular-related dementia. In addition, recently, adrenomedullin has been introduced as one of the novel therapeutic candidates for VCI 143 and using transgenic mice of circulating adrenomedullin overexpression, it was reported that adrenomedullin overexpression would work positively in both vascular function and cognitive function after cerebral hypoperfusion by BCAS. 71 Adrenomedullin was found to upregulate vascular endothelial growth factor and basic fibroblast growth factor through the adrenomedullin receptor and the phosphatidylinositol 3-kinase pathway, 144 so future studies are warranted to test the efficacy of adrenomedullin-related drugs in BCAS mice.
Considering the fact that polypharmacy among elderly patients has become a social issue around the world, it may be important to pursue a therapeutic approach with a non-pharmacological strategy. In this regard, environmental control, including diet and physical intervention, is proposed as an important target for therapeutic intervention for SIVD and other vascular-related dementia, and interestingly, some studies have pursued this research direction. Environmental enrichment, defined as living with extra toys in addition to the standard housing, e.g., running wheels, hanging chains, igloos, and a paper tunnel, reduced glial damage/activation in BCAS mice. 145 A limited rather than full-time exposure to environmental enrichment regimen also attenuates corpus callosum atrophy, greater white matter disintegrity, and working memory deficits induced by BCAS. 146 A recent study also confirmed that BCAS-operated mice on intermittent fasting intervention, where food was provided for only 6 hours during the active phase, showed higher hippocampal neuronal density and spatial working memory compared to the BCAS-operated mice fed ad libitum. 147 In addition, exercise with treadmill training was shown to ameliorate cognitive decline and increase the population of OPCs in the subventricular zone in young BCAS-operated mice. 84 However, the same group also reported that the same exercise regimen showed milder effects on cognitive function in middle-aged BCAS- operated mice, 52 again supporting the idea that aging may be a critical factor in affecting the cerebral hypoperfusion-induced cognitive decline in BCAS mice.
Prospective for future BCAS studies
The BCAS model could be a powerful tool to clarify the pathological mechanisms in cerebral small vessel diseases. 15 However, there are some important points that we need to keep in mind for future BCAS studies. First, there is no perfect mouse model for SIVD, and indeed, the BCAS model has some limitations. Human SVID is mainly caused by small vessel disease (associated with fibrinoid necrosis, lipohyalinosis, fibrohyalinosis, microatheroma, and microaneurysm) resulting in obstruction of blood flow to the small vessels of the brain.10,148,149 Whereas the BCAS model inducing hypoperfusion by blocking major extracranial vessels, such as the CCA. Although the brain pathologies of BCAS mice show the myelin loss and inflammatory changes in the white matter resembling human SIVD, arteriosclerosis is lacking in BCAS-hypoperfusion mice mainly because hypoperfusion is just induced by blocking major extracranial vessels (e.g. common carotid arteries). This is the major difference between the cause of hypoperfusion in human SIVD vs the BCAS model. But, because hereditary small vessel disease mouse models show similar mechanism of human small vessel disease 150 and the major risk factors of SIVD in humans are aging and hypertension, using these mouse models for BCAS experiments may partly overcome this limitation of the BCAS model. Another potential difference between human SIVD and the BCAS model is a relatively sharp CBF reduction in the early phase after BCAS, which makes this model hard to completely mimic the chronic hypoperfusion conditions observed in human SIVD. Although low CBF is associated with white matter hyperintensity on MRI in the human brain, the decline of CBF happens gradually without apparent symptoms in elderly people with cerebral small vessel disease. 151 In addition, MR angiography data in BCAS mice revealed increased tortuosity in the Circle of Willis at 7 weeks after the operation. 37 The increased tortuosity may be partially responsible for the recovery in CBF because this collateral structure attempts to compensate. Another study has revealed the promptness of external carotid artery retrograde flow recruitment together with posterior communicating artery patency influence ischemic lesion volume in BCAS mice. 43 Although how the collaterals influence CBF of small vessels is still unknown, there may be some different mechanism in blood flow recovery after cerebral hypoperfusion between humans SIVD and the BCAS model. Therefore, as a few studies have been conducted, a comparison with human samples would provide important information to interpret the findings in this model.28,119,128,152
Second, we have to pay attention to interpret the data of trial therapies in the BCAS mice model. The original BCAS paper used young male mice, and we still do not have sufficient data regarding how sex and age affect the mechanisms of brain damage and repair after cerebral hypoperfusion. Because there are significant differences in cellular function in the human tissue, including the brain, between males and females 153 and because aging is an important risk factor for most CNS diseases, including vascular-related diseases, 154 the influence of sex and age should be carefully considered to assess the effect of pharmacological or environmental intervention in white matter damage and cognitive dysfunction by cerebral hypoperfusion for future studies. Furthermore, as discussed in the previous paragraph, the blood flow reduction of the majority of SIVD due to sporadic small vessel diseases in human is caused by in-situ arteriosclerosis, while the blood flow reduction of small vessels in BCAS model is secondary to carotid artery stenosis. Unlike real SIVD patients, the influence of vascular risk factors including hypertension, hyperlipidemia, and diabetes are not considered in BCAS model unless we perform BCAS operation to mice with vascular risks. This should be kept in mind when we interpret the data of trial therapies in a BCAS hypoperfusion model. As cerebral amyloid angiopathy model mice with cerebral hypoperfusion by BCAS operation showed cortical microinfarcts and cerebral microbleeds, which are known as major pathological changes of cerebral small vessel disease,28,155,156 certain transgenic mice or mice with comorbidities will be useful for future studies for BCAS studies to obtain translational data of biological and imaging markers from animals to human beings.
And finally, in terms of identifying new therapeutic targets for SIVD, transcriptome data may be a key point for future BCAS studies. The transcriptome profile of BCAS-operated mice would provide a valuable dataset for assessing new therapeutic targets and searching for new biomarkers in CNS disorders. For example, changes in the extracellular matrix are recently attracting attention in small vessel diseases.157–160 The term matrisome has been proposed to refer to the ensemble of proteins constituting the extracellular matrix (core matrisome) as well as the proteins associated with the extracellular matrix. The neurovascular system differs in genomic status and function depending on brain region and cell types. The transcriptome data from specific tissue and/or specific cells in BCAS mice will contribute to matrisome data construction. And ideally, beyond the transcriptome data, it would also be necessary to assemble the dataset of proteomic/metabolomic/lipidomic of BCAS mouse brains to further our understanding of SIVD pathology due to cerebral small vessel diseases.
Since this BCAS model was first reported in 2004, more than 100 papers have been published using this model. BCAS mice show several features of human SIVD, and we could say that this BCAS model is one of the well-accepted mouse models to study the pathology of SIVD (or other small vessel diseases). Studies with this model have revealed multiple cellular and molecular mechanisms which cause brain damage and repair. Also, the model has been utilized to test the efficacy of candidate drugs and non-pharmacological interventions for white matter function and cognitive function under the conditions of cerebral hypoperfusion. Therefore, it is expected that the BCAS model will continue to be used to pursue the pathological mechanisms of vascular-related dementia and to find an effective therapeutic approach for this disease.
Supplemental Material
Supplemental material, sj-pdf-1-jcb-10.1177_0271678X231154597 for A brief overview of a mouse model of cerebral hypoperfusion by bilateral carotid artery stenosis by Hidehiro Ishikawa, Akihiro Shindo, Akane Mizutani, Hidekazu Tomimoto, Eng H Lo and Ken Arai in Journal of Cerebral Blood Flow & Metabolism
Footnotes
Funding: The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: Supported by National Institutes of Health and the Uehara Memorial Foundation.
The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
Supplementary material: Supplemental material for this article is available online.
References
- 1.Gorelick PB, Scuteri A, Black SE, et al. Vascular contributions to cognitive impairment and dementia: a statement for healthcare professionals from the American Heart Association/American Stroke Association. Stroke 2011; 42: 2672–2713. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Skrobot OA, Black SE, Chen C, et al. Progress toward standardized diagnosis of vascular cognitive impairment: guidelines from the vascular impairment of cognition classification consensus study. Alzheimers Dement 2018; 14: 280–292. [DOI] [PubMed] [Google Scholar]
- 3.Skrobot OA, O’Brien J, Black S, et al. The vascular impairment of cognition classification consensus study. Alzheimers Dement 2017; 13: 624–633. [DOI] [PubMed] [Google Scholar]
- 4.Wallin A, Roman GC, Esiri M, et al. Update on vascular cognitive impairment associated with subcortical small-vessel disease. J Alzheimers Dis 2018; 62: 1417–1441. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Román GC, Erkinjuntti T, Wallin A, et al. Subcortical ischaemic vascular dementia. Lancet Neurol 2002; 1: 426–436. [DOI] [PubMed] [Google Scholar]
- 6.Iadecola C, Duering M, Hachinski V, et al. Vascular cognitive impairment and dementia: JACC scientific expert panel. J Am Coll Cardiol 2019; 73: 3326–3344. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Kavirajan H, Schneider LS. Efficacy and adverse effects of cholinesterase inhibitors and memantine in vascular dementia: a meta-analysis of randomised controlled trials. Lancet Neurol 2007; 6: 782–792. [DOI] [PubMed] [Google Scholar]
- 8.Wardlaw JM, Smith C, Dichgans M. Small vessel disease: mechanisms and clinical implications. Lancet Neurol 2019; 18: 684–696. [DOI] [PubMed] [Google Scholar]
- 9.Ishikawa H, Niwa A, Kato S, et al. Micro-MRI improves the accuracy of clinical diagnosis in cerebral small vessel disease. Brain Commun 2021; 3: fcab070. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.van Veluw SJ, Arfanakis K, Schneider JA. Neuropathology of vascular brain health: insights from ex vivo magnetic resonance imaging-histopathology studies in cerebral small vessel disease. Stroke 2022; 53: 404–415. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Wakita H, Tomimoto H, Akiguchi I, et al. Glial activation and white matter changes in the rat brain induced by chronic cerebral hypoperfusion: an immunohistochemical study. Acta Neuropathol 1994; 87: 484–492. [DOI] [PubMed] [Google Scholar]
- 12.Shibata M, Ohtani R, Ihara M, et al. White matter lesions and glial activation in a novel mouse model of chronic cerebral hypoperfusion. Stroke 2004; 35: 2598–2603. [DOI] [PubMed] [Google Scholar]
- 13.Shibata M, Yamasaki N, Miyakawa T, et al. Selective impairment of working memory in a mouse model of chronic cerebral hypoperfusion. Stroke 2007; 38: 2826–2832. [DOI] [PubMed] [Google Scholar]
- 14.Holland PR, Searcy JL, Salvadores N, et al. Gliovascular disruption and cognitive deficits in a mouse model with features of small vessel disease. J Cereb Blood Flow Metab 2015; 35: 1005–1014. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Shindo A, Ishikawa H, Ii Y, et al. Clinical features and experimental models of cerebral small vessel disease. Front Aging Neurosci 2020; 12: 109. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Yang Y, Kimura-Ohba S, Thompson J, et al. Rodent models of vascular cognitive impairment. Transl Stroke Res 2016; 7: 407–414. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Washida K, Hattori Y, Ihara M. Animal models of chronic cerebral hypoperfusion: from mouse to primate. Int J Mol Sci 2019; 20: 6176. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Bink DI, Ritz K, Aronica E, et al. Mouse models to study the effect of cardiovascular risk factors on brain structure and cognition. J Cereb Blood Flow Metab 2013; 33: 1666–1684. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Rosenberg GA, Wallin A, Wardlaw JM, et al. Consensus statement for diagnosis of subcortical small vessel disease. J Cereb Blood Flow Metab 2016; 36: 6–25. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Duncombe J, Kitamura A, Hase Y, et al. Chronic cerebral hypoperfusion: a key mechanism leading to vascular cognitive impairment and dementia. Closing the translational gap between rodent models and human vascular cognitive impairment and dementia. Clin Sci (Lond) 2017; 131: 2451–2468. [DOI] [PubMed] [Google Scholar]
- 21.Hainsworth AH, Allan SM, Boltze J, et al. Translational models for vascular cognitive impairment: a review including larger species. BMC Med 2017; 15: 16. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Ihara M, Taguchi A, Maki T, et al. A mouse model of chronic cerebral hypoperfusion characterizing features of vascular cognitive impairment. Methods Mol Biol (Clifton, NJ) 2014; 1135: 95–102. [DOI] [PubMed] [Google Scholar]
- 23.Miki K, Ishibashi S, Sun L, et al. Intensity of chronic cerebral hypoperfusion determines white/gray matter injury and cognitive/motor dysfunction in mice. J Neurosci Res 2009; 87: 1270–1281. [DOI] [PubMed] [Google Scholar]
- 24.Nishio K, Ihara M, Yamasaki N, et al. A mouse model characterizing features of vascular dementia with hippocampal atrophy. Stroke 2010; 41: 1278–1284. [DOI] [PubMed] [Google Scholar]
- 25.Coltman R, Spain A, Tsenkina Y, et al. Selective white matter pathology induces a specific impairment in spatial working memory. Neurobiol Aging 2011; 32: 2324.e7–12. [DOI] [PubMed] [Google Scholar]
- 26.Reimer MM, McQueen J, Searcy L, et al. Rapid disruption of axon-glial integrity in response to mild cerebral hypoperfusion. J Neurosci 2011; 31: 18185–18194. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Holland PR, Bastin ME, Jansen MA, et al. MRI is a sensitive marker of subtle white matter pathology in hypoperfused mice. Neurobiol Aging 2011; 32: 2325.e1–6. [DOI] [PubMed] [Google Scholar]
- 28.Okamoto Y, Yamamoto T, Kalaria RN, et al. Cerebral hypoperfusion accelerates cerebral amyloid angiopathy and promotes cortical microinfarcts. Acta Neuropathol 2012; 123: 381–394. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Miyamoto N, Pham LD, Hayakawa K, et al. Age-related decline in oligodendrogenesis retards white matter repair in mice. Stroke 2013; 44: 2573–2578. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Hattori Y, Okamoto Y, Maki T, et al. Silent information regulator 2 homolog 1 counters cerebral hypoperfusion injury by deacetylating endothelial nitric oxide synthase. Stroke 2014; 45: 3403–3411. [DOI] [PubMed] [Google Scholar]
- 31.Toyama K, Koibuchi N, Uekawa K, et al. Apoptosis signal-regulating kinase 1 is a novel target molecule for cognitive impairment induced by chronic cerebral hypoperfusion. Arterioscler Thromb Vasc Biol 2014; 34: 616–625. [DOI] [PubMed] [Google Scholar]
- 32.Yata K, Nishimura Y, Unekawa M, et al. In vivo imaging of the mouse neurovascular unit under chronic cerebral hypoperfusion. Stroke 2014; 45: 3698–3703. [DOI] [PubMed] [Google Scholar]
- 33.Saggu R, Schumacher T, Gerich F, et al. Astroglial NF-kB contributes to white matter damage and cognitive impairment in a mouse model of vascular dementia. Acta Neuropathol Commun 2016; 4: 76. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Kitamura A, Manso Y, Duncombe J, et al. Long-term cilostazol treatment reduces gliovascular damage and memory impairment in a mouse model of chronic cerebral hypoperfusion. Sci Rep 2017; 7: 4299. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Tsai TH, Lin CJ, Chua S, et al. Melatonin attenuated the brain damage and cognitive impairment partially through MT2 melatonin receptor in mice with chronic cerebral hypoperfusion. Oncotarget 2017; 8: 74320–74330. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Wolf G, Lotan A, Lifschytz T, et al. Differentially severe cognitive effects of compromised cerebral blood flow in aged mice: association with myelin degradation and microglia activation. Front Aging Neurosci 2017; 9: 191. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Boehm-Sturm P, Füchtemeier M, Foddis M, et al. Neuroimaging biomarkers predict brain structural connectivity change in a mouse model of vascular cognitive impairment. Stroke 2017; 48: 468–475. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Fowler JH, McQueen J, Holland PR, et al. Dimethyl fumarate improves white matter function following severe hypoperfusion: involvement of microglia/macrophages and inflammatory mediators. J Cereb Blood Flow Metab 2018; 38: 1354–1370. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Song J, Yang L, Nan D, et al. Histidine alleviates impairments induced by chronic cerebral hypoperfusion in mice. Front Physiol 2018; 9: 662. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Toyama K, Spin JM, Deng AC, et al. MicroRNA-mediated therapy modulating blood-brain barrier disruption improves vascular cognitive impairment. Arterioscler Thromb Vasc Biol 2018; 38: 1392–1406. [DOI] [PubMed] [Google Scholar]
- 41.Gao Y, Tang H, Nie K, et al. Hippocampal damage and white matter lesions contribute to cognitive impairment in MPTP-lesioned mice with chronic cerebral hypoperfusion. Behav Brain Res 2019; 368: 111885. [DOI] [PubMed] [Google Scholar]
- 42.Shimada T, Shindo A, Matsuyama H, et al. Chronic cerebral hypoperfusion upregulates leptin receptor expression in astrocytes and tau phosphorylation in tau transgenic mice. Neurosci Lett 2019; 704: 133–140. [DOI] [PubMed] [Google Scholar]
- 43.Foddis M, Winek K, Bentele K, et al. An exploratory investigation of brain collateral circulation plasticity after cerebral ischemia in two experimental C57BL/6 mouse models. J Cereb Blood Flow Metab 2020; 40: 276–287. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Sigfridsson E, Marangoni M, Hardingham GE, et al. Deficiency of Nrf2 exacerbates white matter damage and microglia/macrophage levels in a mouse model of vascular cognitive impairment. J Neuroinflammation 2020; 17: 367. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.An L, Chopp M, Zacharek A, et al. Cardiac dysfunction in a mouse vascular dementia model of bilateral common carotid artery stenosis. Front Cardiovasc Med 2021; 8: 681572. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Baik SH, Selvaraji S, Fann DY, et al. Hippocampal transcriptome profiling reveals common disease pathways in chronic hypoperfusion and aging. Aging (Albany NY) 2021; 13: 14651–14674. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Liu Q, Bhuiyan MIH, Liu R, et al. Attenuating vascular stenosis-induced astrogliosis preserves white matter integrity and cognitive function. J Neuroinflammation 2021; 18: 187. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Liu Q, Shkirkova K, Lamorie-Foote K, et al. Air pollution particulate matter exposure and chronic cerebral hypoperfusion and measures of white matter injury in a murine model. Environ Health Perspect 2021; 129: 87006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Messerschmidt C, Foddis M, Blumenau S, et al. PHACTR1 genetic variability is not critical in small vessel ischemic disease patients and PcomA recruitment in C57BL/6J mice. Sci Rep 2021; 11: 6072. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Poh L, Fann DY, Wong P, et al. AIM2 inflammasome mediates hallmark neuropathological alterations and cognitive impairment in a mouse model of vascular dementia. Mol Psychiatry 2021; 26: 4544–4560. [DOI] [PubMed] [Google Scholar]
- 51.Poh L, Razak S, Lim HM, et al. AIM2 inflammasome mediates apoptotic and pyroptotic death in the cerebellum following chronic hypoperfusion. Exp Neurol 2021; 346: 113856. [DOI] [PubMed] [Google Scholar]
- 52.Ohtomo R, Ishikawa H, Kinoshita K, et al. Treadmill exercise during cerebral hypoperfusion has only limited effects on cognitive function in middle-aged subcortical ischemic vascular dementia mice. Front Aging Neurosci 2021; 13: 756537. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Roberts JM, Maniskas ME, Bix GJ. Bilateral carotid artery stenosis causes unexpected early changes in brain extracellular matrix and blood-brain barrier integrity in mice. PloS one 2018; 13: e0195765. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Duan W, Gui L, Zhou Z, et al. Adenosine A2A receptor deficiency exacerbates white matter lesions and cognitive deficits induced by chronic cerebral hypoperfusion in mice. J Neurol Sci 2009; 285: 39–45. [DOI] [PubMed] [Google Scholar]
- 55.Liu Q, He S, Groysman L, et al. White matter injury due to experimental chronic cerebral hypoperfusion is associated with C5 deposition. PloS one 2013; 8: e84802. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Chen Y, Tian H, Yao E, et al. Soluble epoxide hydrolase inhibition promotes white matter integrity and long-term functional recovery after chronic hypoperfusion in mice. Sci Rep 2017; 7: 7758. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Patel A, Moalem A, Cheng H, et al. Chronic cerebral hypoperfusion induced by bilateral carotid artery stenosis causes selective recognition impairment in adult mice. Neurol Res 2017; 39: 910–917. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Maki T, Morancho A, Martinez-San Segundo P, et al. Endothelial progenitor cell secretome and oligovascular repair in a mouse model of prolonged cerebral hypoperfusion. Stroke 2018; 49: 1003–1010. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Morimoto T, Enmi JI, Hattori Y, et al. Dysregulation of RNF213 promotes cerebral hypoperfusion. Sci Rep 2018; 8: 3607. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Ben-Ari H, Lifschytz T, Wolf G, et al. White matter lesions, cerebral inflammation and cognitive function in a mouse model of cerebral hypoperfusion. Brain Res 2019; 1711: 193–201. [DOI] [PubMed] [Google Scholar]
- 61.Han QY, Zhang H, Zhang X, et al. dl-3-n-butylphthalide preserves white matter integrity and alleviates cognitive impairment in mice with chronic cerebral hypoperfusion. CNS Neurosci Ther 2019; 25: 1042–1053. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Magami S, Miyamoto N, Ueno Y, et al. The effects of astrocyte and oligodendrocyte lineage cell interaction on white matter injury under chronic cerebral hypoperfusion. Neuroscience 2019; 406: 167–175. [DOI] [PubMed] [Google Scholar]
- 63.Park SY, Kim HY, Lee YS, et al. Augmented improvement of cognition and memory by aripiprazole add-on for cilostazol treatment in the chronic cerebral hypoperfusion mouse model. Behav Brain Res 2019; 365: 133–140. [DOI] [PubMed] [Google Scholar]
- 64.Han B, Jiang W, Liu H, et al. Upregulation of neuronal PGC-1α ameliorates cognitive impairment induced by chronic cerebral hypoperfusion. Theranostics 2020; 10: 2832–2848. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Stevenson W, Hase Y, Wilson E, et al. Long-term effects of experimental carotid stenosis on hippocampal infarct pathology, neurons and glia and amelioration by environmental enrichment. Brain Res Bull 2020; 163: 72–83. [DOI] [PubMed] [Google Scholar]
- 66.Huuskonen MT, Liu Q, Lamorie-Foote K, et al. Air pollution particulate matter amplifies white matter vascular pathology and demyelination caused by hypoperfusion. Front Immunol 2021; 12: 785519. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Shen F, Wang J, Gao F, et al. Ginsenoside Rg1 prevents cognitive impairment and hippocampal neuronal apoptosis in experimental vascular dementia mice by promoting GPR30 expression. Neural Plast 2021; 2021: 2412220. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68.Nakaji K, Ihara M, Takahashi C, et al. Matrix metalloproteinase-2 plays a critical role in the pathogenesis of white matter lesions after chronic cerebral hypoperfusion in rodents. Stroke 2006; 37: 2816–2823. [DOI] [PubMed] [Google Scholar]
- 69.Fujita Y, Ihara M, Ushiki T, et al. Early protective effect of bone marrow mononuclear cells against ischemic white matter damage through augmentation of cerebral blood flow. Stroke 2010; 41: 2938–2943. [DOI] [PubMed] [Google Scholar]
- 70.Washida K, Ihara M, Nishio K, et al. Nonhypotensive dose of telmisartan attenuates cognitive impairment partially due to peroxisome proliferator-activated receptor-gamma activation in mice with chronic cerebral hypoperfusion. Stroke 2010; 41: 1798–1806. [DOI] [PubMed] [Google Scholar]
- 71.Maki T, Ihara M, Fujita Y, et al. Angiogenic and vasoprotective effects of adrenomedullin on prevention of cognitive decline after chronic cerebral hypoperfusion in mice. Stroke 2011; 42: 1122–1128. [DOI] [PubMed] [Google Scholar]
- 72.Miyamoto N, Maki T, Pham LD, et al. Oxidative stress interferes with white matter renewal after prolonged cerebral hypoperfusion in mice. Stroke 2013; 44: 3516–3521. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 73.Hattori Y, Enmi J, Iguchi S, et al. Substantial reduction of parenchymal cerebral blood flow in mice with bilateral common carotid artery stenosis. Sci Rep 2016; 6: 32179. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74.Yang Y, Torta F, Arai K, et al. Sphingosine kinase inhibition ameliorates chronic hypoperfusion-induced white matter lesions. Neurochem Int 2016; 94: 90–97. [DOI] [PubMed] [Google Scholar]
- 75.Dominguez R, Zitting M, Liu Q, et al. Estradiol protects white matter of male C57BL6J mice against experimental chronic cerebral hypoperfusion. J Stroke Cerebrovasc Dis 2018; 27: 1743–1751. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 76.Miyanohara J, Kakae M, Nagayasu K, et al. TRPM2 channel aggravates CNS inflammation and cognitive impairment via activation of microglia in chronic cerebral hypoperfusion. J Neurosci 2018; 38: 3520–3533. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77.Ohtomo R, Bannai T, Ohtomo G, et al. Cilostazol alleviates white matter degeneration caused by chronic cerebral hypoperfusion in mice: implication of its mechanism from gene expression analysis. Neurosci Lett 2018; 662: 247–252. [DOI] [PubMed] [Google Scholar]
- 78.Khan MB, Hafez S, Hoda MN, et al. Chronic remote ischemic conditioning is cerebroprotective and induces vascular remodeling in a VCID model. Transl Stroke Res 2018; 9: 51–63. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 79.Koizumi K, Hattori Y, Ahn SJ, et al. Apoε4 disrupts neurovascular regulation and undermines white matter integrity and cognitive function. Nature Commun 2018; 9: 3816. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 80.Inaba T, Miyamoto N, Hira K, et al. Protective role of levetiracetam against cognitive impairment and brain white matter damage in mouse prolonged cerebral hypoperfusion. Neuroscience 2019; 414: 255–264. [DOI] [PubMed] [Google Scholar]
- 81.Lee ES, Yoon JH, Choi J, et al. A mouse model of subcortical vascular dementia reflecting degeneration of cerebral white matter and microcirculation. J Cereb Blood Flow Metab 2019; 39: 44–57. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 82.Zhang SQ, Ding FF, Liu Q, et al. Autophagy inhibition exerts neuroprotection on white matter ischemic damage after chronic cerebral hypoperfusion in mice. Brain Res 2019; 1721: 146337. [DOI] [PubMed] [Google Scholar]
- 83.Du Y, Song Y, Zhang X, et al. Leptin Receptor deficiency protects mice against chronic cerebral hypoperfusion-induced neuroinflammation and white matter lesions. Mediators Inflamm 2020; 2020: 7974537. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 84.Ohtomo R, Kinoshita K, Ohtomo G, et al. Treadmill exercise suppresses cognitive decline and increases white matter oligodendrocyte precursor cells in a mouse model of prolonged cerebral hypoperfusion. Transl Stroke Res 2020; 11: 496–502. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 85.Yu Y, Luo X, Li C, et al. Microglial Hv1 proton channels promote white matter injuries after chronic hypoperfusion in mice. J Neurochem 2020; 152: 350–367. [DOI] [PubMed] [Google Scholar]
- 86.Cao J, Yao D, Li R, et al. Digoxin ameliorates glymphatic transport and cognitive impairment in a mouse model of chronic cerebral hypoperfusion. Neuroscience Bull 2022; 38: 181–199. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 87.Kim KJ, Diaz JR, Presa JL, et al. Decreased parenchymal arteriolar tone uncouples vessel-to-neuronal communication in a mouse model of vascular cognitive impairment. GeroScience 2021; 43: 1405–1422. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 88.Bannai T, Mano T, Chen X, et al. Chronic cerebral hypoperfusion shifts the equilibrium of amyloid β oligomers to aggregation-prone species with higher molecular weight. Sci Rep 2019; 9: 2827. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 89.McQueen J, Reimer MM, Holland PR, et al. Restoration of oligodendrocyte pools in a mouse model of chronic cerebral hypoperfusion. PloS one 2014; 9: e87227. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 90.Sutherland BA, Rabie T, Buchan AM. Laser Doppler flowmetry to measure changes in cerebral blood flow. Methods Mol Biol (Clifton, NJ) 2014; 1135: 237–248. [DOI] [PubMed] [Google Scholar]
- 91.Winship IR. Laser speckle contrast imaging to measure changes in cerebral blood flow. Methods Mol Biol (Clifton, NJ) 2014; 1135: 223–235. [DOI] [PubMed] [Google Scholar]
- 92.Kazmi SM, Richards LM, Schrandt CJ, et al. Expanding applications, accuracy, and interpretation of laser speckle contrast imaging of cerebral blood flow. J Cereb Blood Flow Metab 2015; 35: 1076–1084. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 93.Blair GW, Doubal FN, Thrippleton MJ, et al. Magnetic resonance imaging for assessment of cerebrovascular reactivity in cerebral small vessel disease: a systematic review. J Cereb Blood Flow Metab 2016; 36: 833–841. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 94.Makedonov I, Black SE, Macintosh BJ. BOLD fMRI in the white matter as a marker of aging and small vessel disease. PloS One 2013; 8: e67652. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 95.Jonckers E, Shah D, Hamaide J, et al. The power of using functional fMRI on small rodents to study brain pharmacology and disease. Frontiers Pharmacol 2015; 6 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 96.Li B, Ohtomo R, Thunemann M, et al. Two-photon microscopic imaging of capillary red blood cell flux in mouse brain reveals vulnerability of cerebral white matter to hypoperfusion. J Cereb Blood Flow Metab 2020; 40: 501–512. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 97.Srinivasan VJ, Yu E, Radhakrishnan H, et al. Micro-heterogeneity of flow in a mouse model of chronic cerebral hypoperfusion revealed by longitudinal doppler optical coherence tomography and angiography. J Cereb Blood Flow Metab 2015; 35: 1552–1560. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 98.Hou X, Liang X, Chen JF, et al. Ecto-5’-nucleotidase (CD73) is involved in chronic cerebral hypoperfusion-induced white matter lesions and cognitive impairment by regulating glial cell activation and pro-inflammatory cytokines. Neuroscience 2015; 297: 118–126. [DOI] [PubMed] [Google Scholar]
- 99.Miyamoto N, Magami S, Inaba T, et al. The effects of A1/A2 astrocytes on oligodendrocyte linage cells against white matter injury under prolonged cerebral hypoperfusion. Glia 2020; 68: 1910–1924. [DOI] [PubMed] [Google Scholar]
- 100.Dong YF, Kataoka K, Toyama K, et al. Attenuation of brain damage and cognitive impairment by direct renin inhibition in mice with chronic cerebral hypoperfusion. Hypertension 2011; 58: 635–642. [DOI] [PubMed] [Google Scholar]
- 101.Chen Y, Tian Y, Tian H, et al. Tamoxifen promotes white matter recovery and cognitive functions in male mice after chronic hypoperfusion. Neurochem Int 2019; 131: 104566. [DOI] [PubMed] [Google Scholar]
- 102.Park JH, Young Park H, Lee HS, et al. Effects of α-lipoic acid on chronic cerebrovascular hypoperfusion in an animal model of vascular dementia. Eur Rev Med Pharmacol Sci 2019; 23: 2587–2595. [DOI] [PubMed] [Google Scholar]
- 103.Yuan B, Shi H, Zheng K, et al. MCP-1-mediated activation of microglia promotes white matter lesions and cognitive deficits by chronic cerebral hypoperfusion in mice. Mol Cell Neurosci 2017; 78: 52–58. [DOI] [PubMed] [Google Scholar]
- 104.Iwanami J, Mogi M, Tsukuda K, et al. Direct angiotensin II type 2 receptor stimulation by compound 21 prevents vascular dementia. J Am Soc Hypertens 2015; 9: 250–256. [DOI] [PubMed] [Google Scholar]
- 105.Mogi M, Iwanami J, Wang XL, et al. Deletion of interferon-regulatory factor-1 results in cognitive impairment. Hypertens Res 2018; 41: 809–816. [DOI] [PubMed] [Google Scholar]
- 106.Ahn SM, Kim YR, Kim HN, et al. Electroacupuncture ameliorates memory impairments by enhancing oligodendrocyte regeneration in a mouse model of prolonged cerebral hypoperfusion. Sci Rep 2016; 6: 28646. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 107.Takase H, Hamanaka G, Ohtomo R, et al. Transcriptome profiling of mouse corpus callosum after cerebral hypoperfusion. Front Cell Dev Biol 2021; 9: 685261. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 108.Temma T, Yamazaki M, Miyanohara J, et al. Sequential PET estimation of cerebral oxygen metabolism with spontaneous respiration of (15)O-gas in mice with bilateral common carotid artery stenosis. J Cereb Blood Flow Metab 2017; 37: 3334–3343. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 109.Khan MB, Hoda MN, Vaibhav K, et al. Remote ischemic postconditioning: harnessing endogenous protection in a murine model of vascular cognitive impairment. Transl Stroke Res 2015; 6: 69–77. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 110.Kakae M, Tobori S, Morishima M, et al. Depletion of microglia ameliorates white matter injury and cognitive impairment in a mouse chronic cerebral hypoperfusion model. Biochem Biophys Res Commun 2019; 514: 1040–1044. [DOI] [PubMed] [Google Scholar]
- 111.Tsai TH, Sun CK, Su CH, et al. Sitagliptin attenuated brain damage and cognitive impairment in mice with chronic cerebral hypo-perfusion through suppressing oxidative stress and inflammatory reaction. J Hypertens 2015; 33: 1001–1013. [DOI] [PubMed] [Google Scholar]
- 112.Li M, Su S, Cai W, et al. Differentially expressed genes in the brain of aging mice with cognitive alteration and depression- and anxiety-like behaviors. Front Cell Dev Biol 2020; 8: 814. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 113.Ihara M, Tomimoto H. Lessons from a mouse model characterizing features of vascular cognitive impairment with white matter changes. J Aging Res 2011; 2011: 978761. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 114.Wang M, Qin C, Luo X, et al. Astrocytic connexin 43 potentiates myelin injury in ischemic white matter disease. Theranostics 2019; 9: 4474–4493. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 115.Hao J, Chen Y, Yao E, et al. Soluble epoxide hydrolase inhibition alleviated cognitive impairments via NRG1/ErbB4 signaling after chronic cerebral hypoperfusion induced by bilateral carotid artery stenosis in mice. Brain Res 2018; 1699: 89–99. [DOI] [PubMed] [Google Scholar]
- 116.Seo JH, Miyamoto N, Hayakawa K, et al. Oligodendrocyte precursors induce early blood-brain barrier opening after white matter injury. J Clin Investig 2013; 123: 782–786. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 117.Miyamoto N, Maki T, Shindo A, et al. Astrocytes promote oligodendrogenesis after white matter damage via brain-derived neurotrophic factor. J Neurosci 2015; 35: 14002–14008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 118.Takase H, Liang AC, Miyamoto N, et al. Protective effects of a radical scavenger edaravone on oligodendrocyte precursor cells against oxidative stress. Neurosci Lett 2018; 668: 120–125. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 119.Uemura MT, Ihara M, Maki T, et al. Pericyte-derived bone morphogenetic protein 4 underlies white matter damage after chronic hypoperfusion. Brain Pathol 2018; 28: 521–535. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 120.Yasuda K, Maki T, Saito S, et al. Effect of fingolimod on oligodendrocyte maturation under prolonged cerebral hypoperfusion. Brain Res 2019; 1720: 146294. [DOI] [PubMed] [Google Scholar]
- 121.Suzuki K, Shinohara M, Uno Y, et al. Deletion of B-cell translocation gene 2 (BTG2) alters the responses of glial cells in white matter to chronic cerebral hypoperfusion. J Neuroinflammation 2021; 18: 86. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 122.Yu W, Jin H, Sun W, et al. Connexin43 promotes angiogenesis through activating the HIF-1α/VEGF signaling pathway under chronic cerebral hypoperfusion. J Cereb Blood Flow Metab 2021; 41: 2656–2675. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 123.Candelario-Jalil E, Thompson J, Taheri S, et al. Matrix metalloproteinases are associated with increased blood-brain barrier opening in vascular cognitive impairment. Stroke 2011; 42: 1345–1350. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 124.Miyamoto N, Pham LD, Maki T, et al. A radical scavenger edaravone inhibits matrix metalloproteinase-9 upregulation and blood-brain barrier breakdown in a mouse model of prolonged cerebral hypoperfusion. Neurosci Lett 2014; 573: 40–45. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 125.Ran H, Duan W, Gong Z, et al. Critical contribution of adenosine A2A receptors in bone marrow-derived cells to white matter lesions induced by chronic cerebral hypoperfusion. J Neuropathol Exp Neurol 2015; 74: 305–318. [DOI] [PubMed] [Google Scholar]
- 126.Chen JF, Huang Z, Ma J, et al. A(2A) adenosine receptor deficiency attenuates brain injury induced by transient focal ischemia in mice. J Neurosci 1999; 19: 9192–9200. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 127.Pedata F, Gianfriddo M, Turchi D, et al. The protective effect of adenosine A2A receptor antagonism in cerebral ischemia. Neurol Res 2005; 27: 169–174. [DOI] [PubMed] [Google Scholar]
- 128.Matsuyama H, Shindo A, Shimada T, et al. Chronic cerebral hypoperfusion activates AIM2 and NLRP3 inflammasome. Brain Res 2020; 1736: 146779. [DOI] [PubMed] [Google Scholar]
- 129.Heneka MT, McManus RM, Latz E. Inflammasome signalling in brain function and neurodegenerative disease. Nat Rev Neurosci 2018; 19: 610–621. [DOI] [PubMed] [Google Scholar]
- 130.Regenhardt RW, Das AS, Lo EH, et al. Advances in understanding the pathophysiology of lacunar stroke: a review. JAMA Neurol 2018; 75: 1273–1281. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 131.Vanlandewijck M, He L, Mäe MA, et al. A molecular atlas of cell types and zonation in the brain vasculature. Nature 2018; 554: 475–480. [DOI] [PubMed] [Google Scholar]
- 132.Kitamura A, Saito S, Maki T, et al. Gradual cerebral hypoperfusion in spontaneously hypertensive rats induces slowly evolving white matter abnormalities and impairs working memory. J Cereb Blood Flow Metab 2016; 36: 1592–1602. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 133.Hattori Y, Enmi J, Iguchi S, et al. Gradual carotid artery stenosis in mice closely replicates hypoperfusive vascular dementia in humans. J Am Heart Assoc 2016; 5: e002757. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 134.Hattori Y, Enmi J, Kitamura A, et al. A novel mouse model of subcortical infarcts with dementia. J Neurosci 2015; 35: 3915–3928. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 135.Kitaguchi H, Tomimoto H, Ihara M, et al. Chronic cerebral hypoperfusion accelerates amyloid beta deposition in APPSwInd transgenic mice. Brain Res 2009; 1294: 202–210. [DOI] [PubMed] [Google Scholar]
- 136.Yamada M, Ihara M, Okamoto Y, et al. The influence of chronic cerebral hypoperfusion on cognitive function and amyloid β metabolism in APP overexpressing mice. PloS one 2011; 6: e16567. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 137.Tang H, Gao Y, Zhang Q, et al. Chronic cerebral hypoperfusion independently exacerbates cognitive impairment within the pathopoiesis of Parkinson’s disease via microvascular pathologys. Behav Brain Res 2017; 333: 286–294. [DOI] [PubMed] [Google Scholar]
- 138.Yatomi Y, Tanaka R, Shimada Y, et al. Type 2 diabetes reduces the proliferation and survival of oligodendrocyte progenitor cells in ishchemic white matter lesions. Neuroscience 2015; 289: 214–223. [DOI] [PubMed] [Google Scholar]
- 139.Korte N, Nortley R, Attwell D. Cerebral blood flow decrease as an early pathological mechanism in Alzheimer’s disease. Acta Neuropathol 2020; 140: 793–810. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 140.Yu Y, Fu P, Yu Z, et al. NKCC1 Inhibition attenuates chronic cerebral hypoperfusion-induced white matter lesions by enhancing progenitor cells of oligodendrocyte proliferation. J Mol Neurosci 2018; 64: 449–458. [DOI] [PubMed] [Google Scholar]
- 141.Zhang LY, Pan J, Mamtilahun M, et al. Microglia exacerbate white matter injury via complement C3/C3aR pathway after hypoperfusion. Theranostics 2020; 10: 74–90. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 142.Chen X, Yao N, Lin Z, et al. Inhibition of the immunoproteasome subunit LMP7 ameliorates cerebral white matter demyelination possibly via TGFβ/smad signaling. Evid Based Complement Alternat Med 2021; 2021: 6426225. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 143.Hainsworth AH, Elahi FM, Corriveau RA. An introduction to therapeutic approaches to vascular cognitive impairment. Cereb Circ Cogn Behav 2021; 2: 100033. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 144.Maki T, Ihara M, Fujita Y, et al. Angiogenic roles of adrenomedullin through vascular endothelial growth factor induction. Neuroreport 2011; 22: 442–447. [DOI] [PubMed] [Google Scholar]
- 145.Hase Y, Craggs L, Hase M, et al. Effects of environmental enrichment on white matter glial responses in a mouse model of chronic cerebral hypoperfusion. J Neuroinflammation 2017; 14: 81. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 146.Hase Y, Craggs L, Hase M, et al. The effects of environmental enrichment on white matter pathology in a mouse model of chronic cerebral hypoperfusion. J Cereb Blood Flow Metab 2018; 38: 151–165. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 147.Andika FR, Yoon JH, Kim GS, et al. Intermittent Fasting alleviates cognitive impairments and hippocampal neuronal loss but enhances astrocytosis in mice with subcortical vascular dementia. J Nutr 2021; 151: 722–730. [DOI] [PubMed] [Google Scholar]
- 148.Gouw AA, Seewann A, van der Flier WM, et al. Heterogeneity of small vessel disease: a systematic review of MRI and histopathology correlations. J Neurol Neurosurg Psychiatry 2011; 82: 126–135. [DOI] [PubMed] [Google Scholar]
- 149.Pantoni L. Cerebral small vessel disease: from pathogenesis and clinical characteristics to therapeutic challenges. Lancet Neurol 2010; 9: 689–701. [DOI] [PubMed] [Google Scholar]
- 150.Ayata C. CADASIL: experimental insights from animal models. Stroke 2010; 41: S129–34. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 151.Shi Y, Thrippleton MJ, Makin SD, et al. Cerebral blood flow in small vessel disease: a systematic review and meta-analysis. J Cereb Blood Flow Metab 2016; 36: 1653–1667. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 152.Gallart-Palau X, Serra A, Hase Y, et al. Brain-derived and circulating vesicle profiles indicate neurovascular unit dysfunction in early alzheimer’s disease. Brain Pathol 2019; 29: 593–605. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 153.Oliva M, Muñoz-Aguirre M, Kim-Hellmuth S, et al. The impact of sex on gene expression across human tissues. Science (New York, NY) 2020; : 369. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 154.Chen CLH, Rundek T. Vascular brain health. Stroke 2021; 52: 3700–3705. [DOI] [PubMed] [Google Scholar]
- 155.Salvadores N, Searcy JL, Holland PR, et al. Chronic cerebral hypoperfusion alters amyloid-β peptide pools leading to cerebral amyloid angiopathy, microinfarcts and haemorrhages in Tg-SwDI mice. Clin Sci (Lond) 2017; 131: 2109–2123. [DOI] [PubMed] [Google Scholar]
- 156.Shang J, Yamashita T, Tian F, et al. Chronic cerebral hypoperfusion alters amyloid-β transport related proteins in the cortical blood vessels of Alzheimer’s disease model mouse. Brain Res 2019; 1723: 146379. [DOI] [PubMed] [Google Scholar]
- 157.Joutel A, Haddad I, Ratelade J, et al. Perturbations of the cerebrovascular matrisome: a convergent mechanism in small vessel disease of the brain? J Cereb Blood Flow Metab 2016; 36: 143–157. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 158.Traylor M, Persyn E, Tomppo L, et al. Genetic basis of lacunar stroke: a pooled analysis of individual patient data and genome-wide association studies. Lancet Neurol 2021; 20: 351–361. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 159.Kato T, Manabe RI, Igarashi H, et al. Candesartan prevents arteriopathy progression in cerebral autosomal recessive arteriopathy with subcortical infarcts and leukoencephalopathy model. J Clin Investig 2021; 131 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 160.Rosenberg GA. Extracellular matrix inflammation in vascular cognitive impairment and dementia. Clin Sci (Lond) 2017; 131: 425–437. [DOI] [PubMed] [Google Scholar]
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Supplementary Materials
Supplemental material, sj-pdf-1-jcb-10.1177_0271678X231154597 for A brief overview of a mouse model of cerebral hypoperfusion by bilateral carotid artery stenosis by Hidehiro Ishikawa, Akihiro Shindo, Akane Mizutani, Hidekazu Tomimoto, Eng H Lo and Ken Arai in Journal of Cerebral Blood Flow & Metabolism